Developed machine-learning pipelines to process high-frequency financial data in real time.

Trained and deployed neural networks to make short-term forecasts of market conditions.

Applied simulation and reinforcement learning techniques to extract alpha from financial data.

Developed system for automated placement of trades based on our pipeline’s forecasts.

Created tools and visualizations to assist traders in decision-making regarding live market conditions.

Core developer and maintainer of Hydra and OmegaConf; implemented new features and deployed bugfixes per team priorities and requests from internal users at Meta.

Collaborated with small team of software engineers to ensure quality and direction of the project.

Provided technical support to internal users at Meta and external users in the open-source community.

Helped to double the size of the Hydra and OmegaConf open source userbase.

Applied the algorithm to model chemical concentrations in human pancreatic islets (see